Triple
T17117614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienne |
E415380
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Limousin |
E84116
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Limousin | Statement: [Vienne, flowsThrough, Limousin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limousin Context triple: [Vienne, flowsThrough, Limousin]
-
A.
Limousin
chosen
Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
-
B.
Charolais
Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
-
C.
Salers
Salers is a picturesque medieval village in France’s Cantal department, renowned for its well-preserved stone architecture, traditional Auvergne culture, and namesake Salers cattle and cheese.
-
D.
Nivernais cattle
Nivernais cattle are a traditional French draught and beef cattle breed originating from the Nivernais region, known for their strength and distinctive dark coat.
-
E.
Hereford cattle
Hereford cattle are a widely recognized British beef breed known for their distinctive red bodies with white faces, hardiness, and efficient meat production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8075a6c8190954d36eb94d1028a |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0b69108190ba3ba6ba7f8d3935 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.